Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PaulRBerg/agent-skills --skill agents-systemgit clone --depth 1 https://github.com/PaulRBerg/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/paulrberg/agent-skills/agents-system)<a href="https://agentmods.dev/skills/paulrberg/agent-skills/agents-system"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/agents-system/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/paulrberg/agent-skills/agents-system"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/agents-system.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.02300 |
| Opus 5.5 | $0.00020 | $0.00920 |
| Sonnet 5.5 | $0.00010 | $0.00460 |
| Haiku 4.5 | $0.00005 | $0.00230 |
Grade A, and why
agents-system scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents System
Treat the assigned repositories as one connected system. Design for an agent that must understand the domain, choose the correct action, observe its effects, recover from failure, and leave useful knowledge for the next task.
In this skill, the system means the repository or repositories the agent is tasked to work on. Agent means the coding agent operating those repositories. The project does not need to contain AI software.
Use these outcomes to judge improvements:
- Agent-intuitive: An agent can discover the system's purpose, vocabulary, structure, constraints, and authoritative evidence without guessing.
- Agent-ergonomic: An agent can inspect state, make a bounded change, verify the result, and recover with few steps and clear feedback.
- Agent-accretive: Completed work leaves verified knowledge and reusable capabilities that reduce the cost of later work. Obsolete knowledge is corrected or retired.
Optimize for correct results and low total resource cost across repeated tasks. Include context, tool calls, execution time, and future maintenance. Preserve the system's product goals, human usability, and required contracts.
Scope and Authority
User instructions take precedence over this skill's defaults. Apply established authorization without asking again.
- Use explicit repository paths when supplied. Otherwise, use the repositories assigned in the conversation, falling back to the current repository.
- Resolve paths and read each repository's applicable instructions. Treat unassigned dependencies as external systems. Record their contracts without adding their repositories to the write scope.
- By default, revise design documents, architecture decisions, implementation plans, and the context links needed to reach them. Record proposed code, tooling, schema, and infrastructure changes in those plans.
- Implement runtime changes only when the user's request or standing instructions also authorize them. Keep the documentation work complete and distinguish proposed behavior from implemented behavior.
- For an assessment-only request, Plan Mode, or
--dry-run, inspect and propose changes without editing repository files. Honor protected documents, generated-file ownership, coordination rules, and approval boundaries.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +8 lines 9d0e3a6b1b4c
- 1mo ago First seen · 175 lines · 50 tokens per session scan A 6865e09d4dac
agents-system is a skill published in the GitHub repository PaulRBerg/agent-skills (104 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 2,300 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-07.
agents-system compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agents-systemPaulRBerg/agent-skills | Skill | 104 | 2d ago | MIT | A | 50 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |